Multi source data processing system of electric transmission and transformation equipment
GONG Xiao1, DENG Chao zhi1, ZHU Huai jin1, XIA Yi qiao2, GUO Chuang xin2
（1.Guiyang Electric Power Supply Bureau, Guiyang 550002, China;
2.School of Electrical Engineering, Zhejiang University, Hangzhou 310027, China）

Abstract: Aiming at the problems of the data sources and data platform diversity, a multisource data processing system was proposed. Based on the analysis of electric transmission and transformation equipment condition assessment data，the function including data preliminary processing, cross platform access, preliminary cleaning, quality evaluation model, specification conversion and data output function were designed. In addition, the multi source data processing system of electric transmission and transformation equipment was applied to big data analysis platform, distribute heterogeneous storage of big data and efficient retrieval technology were researched, and the parallel transmission technology for analysis of big data was focused on. The results indicate that the model framework of big data full coupling analysis can provide data support for the production of power transmission equipment and maintenance personnel.

Key words: electric transmission and transformation equipment; multisource data; processing system; big data; full coupling analysis